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Knowledge unaided power centroid (KUPC) adaptive radar and its latency information theory (LIT) roots
are reviewed in this third paper of a three paper series. LIT is the universal guidance theory for efficient system designs
that has inherently surfaced from the confluence of five ideas. They are: 1) The source entropy and channel capacity
performance bounds of Shannon's mathematical theory of communication; 2) The latency time (LT) certainty of
Einstein's relativity theory; 3) The information space (IS) uncertainty of Heisenberg's quantum physics; 4) The black
hole Hawking radiation and its Boltzmann thermodynamics entropy S in SI J/K; and 5) The author's 1978 conjecture of
a structural-physical LT-certainty/IS-uncertainty duality for stochastic control. LIT is characterized by a four quadrants
revolution. While the first and third quadrants are concerned with the life time of physical signal movers and the life
space of physical signal retainers, respectively, the second and fourth quadrants are about the intelligence space of
mathematical signal sources and the processing time of mathematical signal processors, respectively. The four quadrants
of LIT are assumed to be physically independent with their system design methodologies guided by dualities and
performance bounds. Moreover, all the LIT quadrants are bridged by statistical physics, inclusive of a recently
discovered time dual for thermodynamics that has been named lingerdynamics. The theoretical and practical relevance
of LIT has already been demonstrated using real-world control, physics, biochemistry and the KUPC adaptive radar
application that is reviewed in this paper. KUPC adaptive radar is a technique that falls within the fourth quadrant of
LIT, and is thus a mathematical signal processing technique whose goal is the efficient detection of moving targets in
real-world taxing environments. As is highlighted in this review KUPC adaptive radar is found to come relatively close
to the signal to interference plus noise ratio (SINR) radar performance of DARPA's knowledge-aided sensory signal
processing expert reasoning (KASSPER) even though it is knowledge unaided.
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